Master Generative AI with 10+ Real-world Projects in 2025!
An in-depth guide to PyCaret, the open-source, low-code machine learning library. Learn how it simplifies the end-to-end ML workflow.
Master prompt engineering in 2026 with practical prompting techniques, reasoning methods, safety defenses, and real-world examples.
Learn how LLM memory works, including context windows, stateless models, RAG, vector databases, and short vs long-term memory in AI systems.
Learn how to track and monitor AI agents using MLflow. This guide covers a tri-model red teaming approach for evaluating agentic systems.
LangChain guide covering prompts, chains, tools, agents, memory, and retrieval. Learn how to build scalable, real-world AI applications.
Learn to build an open-source logo detector ACR system using embeddings, Euclidean distance, thresholding, and vector search techniques.
Build Agentic AI pipeline for ESG reporting using parallel data aggregation and smart report generation using a multi-agent approach.
Learn about the OpenAI's ecosystem with our developer's guide. From GPT-3.5 to GPT-5.1, with hands-on examples for DALL-E 3 and more.
Learn how Langfuse, the open-source platform for LLM apps, solves challenges like non-determinism and complex chains.
Learn practical LLMOps: deploy LLMs in production with LangChain, FastAPI, Docker, and Streamlit, from prototype to scalable RAG chatbot.
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